https://scholarworks.unist.ac.kr/handle/201301/113 2026-05-02T17:28:28Z 2026-05-02T17:28:28Z LOU, KARINA https://scholarworks.unist.ac.kr/handle/201301/91101 2026-03-26T13:16:14Z 2026-01-31T15:00:00Z

Title: When Academics Meet Climate: The Differential Impact of Climate versus Non-Climate Technologies from Universities Author(s): LOU, KARINA Abstract: In the context of climate change mitigation as a paramount global challenge, this study focuses on technologies originating from university research. We investigate the influence of university-originated climate technologies (CTs) on subsequent inventions, specifically whether CTs exert greater knowledge spillovers than non-climate technologies (NCTs) and whether this effect is amplified by knowledge spanning. Knowledge spanning captures the extent to which an invention integrates knowledge across multiple domains, reflecting the diversification of the knowledge it embeds. Drawing on a large sample of 184,942 U.S. university-originated patents granted from 1981 to 2023 (post-Bayh-Dole Act), we utilize forward citations as an established patent indicator to measure knowledge spillovers. The findings reveal that university-originated CTs receive significantly more forward citations than NCT counterparts, consistent with evidence that climate patents generate greater knowledge spillovers. Crucially, among CTs, those exhibiting higher knowledge spanning have even greater influence on subsequent technological developments, suggesting that knowledge integration across domains is critical for maximizing academic climate technology impact. Additional analyses highlight heterogeneity across CT subclasses, with building, production, transportation, and waste management technologies showing the largest advantages. These results provide actionable insights for public R&D policies, emphasizing targeted funding for knowledge-spanning CTs to enhance spillovers and accelerate low-carbon transitions. Major: School of Business Administration

2026-01-31T15:00:00Z IDINOV, AMAL https://scholarworks.unist.ac.kr/handle/201301/91100 2026-03-26T13:16:13Z 2026-01-31T15:00:00Z

Title: Research Roots And Innovation Fruits: How University Research Intensity Shapes CEO Influence On Corporate Innovation Author(s): IDINOV, AMAL Abstract: Innovation is a cornerstone of organizational success, yet the educational foundations that shape innovative leadership remain underexplored. Building on Upper Echelons Theory and Human Capital Theory, this study examines how the research orientation of a CEO’s alma mater influences firm-level innovation. We explain that CEOs educated in research-intensive universities develop inquiry-driven and experimentation-oriented mindsets that translate into stronger corporate innovation through enhanced R&D and patenting activity. Using a multi-year panel data of S&P 1500 firms, we find an intricate relationship between university research performance and firm innovation activity. Our analysis results show that CEOs from highly research-intensive universities invest more in R&D, but are not better than their peers at generating patents. This study introduces university research intensity as a novel dimension of executive human capital, deepening our understanding of how educational environments shape strategic leadership and corporate innovation. Major: School of Business Administration

2026-01-31T15:00:00Z AKHMEDOV, SHAKHZOD UKTAM UGLI https://scholarworks.unist.ac.kr/handle/201301/91099 2026-03-26T13:16:12Z 2026-01-31T15:00:00Z

Title: Akhmedov Shakhzod Uktam Ugli School of Business Administration Author(s): AKHMEDOV, SHAKHZOD UKTAM UGLI Abstract: In the age of advanced artificial intelligence, AI agents are increasingly taking over human agents in consumer service tasks, understanding how their design shapes consumer response is very critical. This study explores whether AI agent appearance (human-like versus machine-like) affects users' interaction in airline service contexts and examines how trust and fairness influence these effects under different service outcomes (success vs. failure). A 2 × 2 between-subjects online experiment (N = 240) manipulated AI agent appearance and service performance (success vs. failure) in a simulated mobile chat interface, with participants reporting trust, fairness and behavioural intentions. Results showed that service outcome was the strongest predictor of consumer responses, while AI agent appearance had no main effect in service success condition while being important if service fails. Under failure conditions, however, human-like AI agents were liked and recommended more than machine-like AI agents. Findings from this research suggest that in high-stakes situations, functional performance and perceptions of fairness take precedence over visual design, whereas human-like attributes may only mitigate negative reactions in an instance of service failure, providing practical insights for the design of effective AI service agents. Keywords: AI agent, anthropomorphism, trust, fairness, service condition, consumer response Major: School of Business Administration

2026-01-31T15:00:00Z Zainuddin, Nurul Aliah Binti https://scholarworks.unist.ac.kr/handle/201301/88132 2025-11-06T00:57:13Z 2025-07-31T15:00:00Z

Title: Do Expectations Shape Outcomes? The Role of Retirement Wealth Expectations in Predicting Later-Life Financial Wealth Author(s): Zainuddin, Nurul Aliah Binti Abstract: This study investigates how individuals' expectations about retirement wealth relate to their actual financial outcomes later in life. Using longitudinal survey data from 1992 to 2020, I construct a relative measure based on the ratio of expected retirement wealth to actual financial wealth at retirement to identify an overestimation. This ratio serves as a behavioral proxy for financial optimism and risk preferences. From the cross-sectional analysis, I observe that individuals’ relative expectations can be explained by gender, educational attainment, expected retirement age, and earnings in the same year. Individuals with higher education (high-school level and graduate-level) and those who are expected to retire later tend to report higher relative expectations, suggesting optimism bias among these groups. The time trend analysis reveals a persistent and widening disparity in average financial wealth between overestimate and non-overestimate individuals. Individuals who overestimate their retirement wealth consistently accumulate significantly more financial wealth across the years. This trend may indicate lower risk aversion among the overestimate group, reflecting underlying risk preferences that influence financial behavior and long-term wealth accumulation. These findings underscore the importance of incorporating psychological and behavioral traits—such as optimism and risk tolerance—into assessments of retirement preparedness. These also emphasize the need for targeted financial education initiatives aimed at correcting biased expectations and improving decision-making in retirement planning. Major: School of Business Administration

2025-07-31T15:00:00Z